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Business Analytics at LSSU Presented by C. Christopher Lee Associate Professor of Management

Business Analytics at LSSU Presented by C. Christopher Lee Associate Professor of Management. Business Analytics. Quantitative Management Research Methodology Scientific, Objective, Quantitative Analysis 3 Major Areas of Business Analytics: Business Statistics Management Science

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Business Analytics at LSSU Presented by C. Christopher Lee Associate Professor of Management

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  1. Business Analytics at LSSUPresented byC. Christopher LeeAssociate Professor of Management

  2. Business Analytics • Quantitative Management • Research Methodology • Scientific, Objective, Quantitative Analysis • 3 Major Areas of Business Analytics: • Business Statistics • Management Science • Management Information Systems • Job Opportunities: • 800 job openings at Wal-Mart

  3. Biz. Analytics Curriculum at LSSU Prerequisites - College Algebra Biz. Analytics 1 - BUSN 122, Biz. Applications with Contemporary Technologies Biz. Analytics 2- BUSN 211, Business Statistics Biz. Analytics 3- MGMT 280, Management Information Systems Biz. Analytics 4- MGMT 371, Operations & Business Analytics (formerly MGMT 375, Supply Chain Management) Biz. Analytics 5- MGMT 471, Advanced Business Analytics (formerly MGMT 375, Supply Chain Management)

  4. Business Analytics 2 - BUSN 211, Business Statistics Descriptive Statistics Data Mining Sampling Theory Statistical Inference Central Limit Theorem Hypothesis Testing T-Test Model ANOVA Model – One Way ANOVA Regression Model - Simple Regression

  5. Business Analytics 3: MGMT 280, Management Information Systems Systems Theories Database Design, Administration Decision Support Systems Data Warehousing Data Mining Systems Development Life Cycles (SDLC) System Implementation – Project Management of Information Systems Development Big Data – Concept, Analysis, Models

  6. Production/Operations Management Concepts Operations Strategy Supply Chain Management Just-in-Time (JIT) Theory MRP, ERP ANOVA Model Correlation Analysis Multiple Regression Model Time-Series Analysis 1 - Forecasting Model Business Analytics 4:MGMT 371, Operations & Biz. Analytics • Management Science/ Operations Research: • Linear Programming Model • Transportation Model • Inventory Control Model • Decision Tree Model • Project Management – PERT/CPM Model • TQM – Statistical Process Control Model • Queuing Model • Risk Management - System Reliability Model

  7. Structural Equation Modeling (SEM) Factor Analysis Discriminant Model Non-parametric Model Time-Series Analysis 2 – Advanced Forecasting Model Business Analytics 5 – MGMT 471, Advanced Business Analytics • LP Model 2 • Data Envelopment Analysis (DEA) Model • Simulation Model • Goal Programming (GP) Model • Analytic Hierarchy Process (AHP) Model • Non-LP Model

  8. Thank You!Any Questions? For More Information, contact: Professor C. Christopher Lee, Ph.D: www.cchristopherlee.com clee4@lssu.eduorcchristopherlee@gmail.com Office - Library 319 Phone: (906) 635 - 6682

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